Search Results demand




The MTL_USER_DEMAND table in Oracle E-Business Suite (EBS) 12.1.1 or 12.2.2 is a critical entity within the Inventory Management module, primarily used to store and manage user-defined demand data. This table plays a pivotal role in demand forecasting, planning, and inventory replenishment processes by capturing demand entries that are manually entered by users or generated through custom applications. Unlike system-generated demand (e.g., from sales orders or work orders), MTL_USER_DEMAND allows organizations to incorporate external or ad-hoc demand requirements into their inventory planning workflows. ### **Key Attributes of MTL_USER_DEMAND** The table consists of several columns that define the nature, source, and validity of user-defined demand. Some of the most significant columns include: - DEMAND_ID: A unique identifier for each demand entry. - INVENTORY_ITEM_ID: References the item in MTL_SYSTEM_ITEMS_B for which demand is recorded. - ORGANIZATION_ID: Specifies the inventory organization where the demand applies. - QUANTITY: The demanded quantity of the item. - DEMAND_DATE: The date when the demand is expected or required. - USER_ID: Identifies the user who created the demand entry. - SOURCE_TYPE: Indicates whether the demand is manually entered or sourced from an external system (e.g., via an interface). - STATUS: Tracks the demand's lifecycle (e.g., "Entered," "Processed," or "Cancelled"). ### **Functional Role in Oracle EBS** The MTL_USER_DEMAND table integrates with Oracle's Advanced Supply Chain Planning (ASCP) and Inventory Optimization modules. When demand planning runs are executed, the data from this table is consolidated with other demand sources (e.g., sales orders, forecasts) to generate replenishment recommendations. This ensures that user-defined demands are considered alongside system-generated demands, enabling a holistic view of inventory requirements. ### **Integration with Other Modules** 1. **Inventory Management**: The table feeds into inventory replenishment logic, ensuring stock levels are adjusted to meet manually specified demands. 2. **Order Management**: While not directly linked to sales orders, user-defined demands may influence allocation strategies. 3. **Purchasing/Procurement**: Demand entries may trigger purchase requisitions or blanket agreement releases if the item's sourcing rules are configured accordingly. ### **Customization and Extensions** Organizations often extend the functionality of MTL_USER_DEMAND by: - Building custom interfaces to import demand data from external systems (e.g., ERP integrations). - Developing workflows to validate and approve user-entered demands before processing. - Creating reports to analyze historical user demand trends. ### **Data Maintenance and Performance** Since the table can grow significantly over time, periodic archival or purging of processed demands is recommended. Indexing on key columns (INVENTORY_ITEM_ID, ORGANIZATION_ID, DEMAND_DATE) improves query performance, especially for planning runs. ### **Conclusion** The MTL_USER_DEMAND table is a flexible and essential component of Oracle EBS, enabling organizations to incorporate non-system demand signals into their supply chain processes. Its proper use ensures that inventory planning remains aligned with both operational and strategic business requirements.